Static random access memory (SRAM) cell and related device
A static random access and memory technology, applied in the semiconductor field, can solve the problems of high power consumption of SRAM and limit the processing speed of the processor.
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[0054] With the development of artificial intelligence, machine learning (ML) related algorithms and theories are widely used in various fields and have achieved surprising results. Among many machine learning algorithms, the neural network algorithm imitates the behavioral characteristics of the biological nervous system to process the original information and extract high-dimensional features, which has received extensive attention in the field of pattern recognition. Among them, the convolutional neural network (CNN) shows outstanding advantages in the field of classification and recognition. For example, the ResNet deep convolutional neural network proposed by Szegedy et al. only has an error rate of 3.57% on the same data set. It has greatly exceeded the average level of human recognition.
[0055] In order to fit a high-performance mapping relationship, the neural network often uses an extremely deep network scale and performs a large number of calculations. With the inc...
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